issues: 441341354

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
441341354 MDU6SXNzdWU0NDEzNDEzNTQ= 2948 xr.merge fails when passing dict 10194086 closed 0     5 2019-05-07T17:06:07Z 2019-06-12T15:33:26Z 2019-06-12T15:33:26Z MEMBER      

Code Sample

```python import xarray as xr

a = xr.DataArray([1, 2], dims=('foo', ), name='a') b = xr.DataArray([3], dims=('bar', ), name='b')

objects = dict(a=a, b=b) xr.merge(objects)

```

Problem description

This returns an AttributeError, while the documentation states that a dict is a valid input.

``` python def merge(objects, compat='no_conflicts', join='outer'): """Merge any number of xarray objects into a single Dataset as variables.

Parameters
----------
objects : Iterable[Union[xarray.Dataset, xarray.DataArray, dict]]
    Merge together all variables from these objects. If any of them are
    DataArray objects, they must have a name.

...

```

Expected Output

Either the docs or the dict_like_objects loop should be changed.

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.7.1 | packaged by conda-forge | (default, Feb 18 2019, 01:42:00) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.4.138-59-default machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.2 xarray: 0.12.1 pandas: 0.24.2 numpy: 1.16.2 scipy: 1.2.1 netCDF4: 1.5.0.1 pydap: None h5netcdf: 0.7.1 h5py: 2.9.0 Nio: None zarr: None cftime: 1.0.3.4 nc_time_axis: 1.2.0 PseudonetCDF: None rasterio: 1.0.22 cfgrib: 0.9.6.2 iris: 2.2.0 bottleneck: 1.2.1 dask: 1.1.5 distributed: 1.26.1 matplotlib: 3.0.3 cartopy: 0.17.0 seaborn: 0.9.0 setuptools: 41.0.0 pip: 19.0.3 conda: None pytest: 4.4.0 IPython: 7.4.0 sphinx: 2.0.1 
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   completed 13221727 issue

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